Security Scan Report: iko-yo.net

Submitted: Jan 21, 2026, 12:28:30 AMCompleted: Jan 21, 2026, 12:30:19 AMpubliccompleted
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Summary

This website contacted 12 IPs in 3 countries across 12 domains to perform 1 HTTP transaction. The main domain is iko-yo.net and was registered NaN years ago.

Submitted URL: https://iko-yo.net

The Cisco Umbrella rank of the primary domain is #715,816 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

Legitimate site with minimal risk; no phishing or scam indicators detected.

Safety Factors
Well‑established domain (>17 years)
Standard hosting with no suspicious redirects
No malicious Indicators of Compromise
Only email fields in forms (likely newsletter/contact)
No noindex meta tags
Domain age information unavailable

Details

Page Title

子供とお出かけ情報「いこーよ」

Scan Type

public

Language

🇯🇵

Japanese

(80% confidence)

Category

education learning

(55%)

Domain Information

The domain 'iko-yo.net' uses the network infrastructure generic top-level domain (.net) with no subdomain. The second-level label 'iko-yo' is 6 characters long holding three vowels versus two consonants, along with 1 hyphen. Word splitting yields 3 words: i, ko, yo. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://iko-yo.net

Page Load Overview

8.22s
Total Load Time
306
HTTP Requests
36
Domains
5.4 MB
Total Size

Language Analysis

Primary Language

🇯🇵Japanese
Code: ja
Confidence:80%
Script:Mixed
Direction:ltr

Detection Details

Language Code:ja
Detection Confidence:80%
Script Type:Mixed
HTML Lang Attribute:ja
Text Length:7,314 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning55% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
55%
travel tourism
42%
corporate
35%
entertainment media
27%
forum
20%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
31142.251.141.98United States
AS15169GOOGLE
2557.144.248.128Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2513.33.52.91New York, New York, United States
AS16509AMAZON-02
25142.250.185.74United States
AS15169GOOGLE
2523.67.132.201Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
2513.32.118.190New York, New York, United States
AS16509AMAZON-02
25142.250.185.162United States
AS15169GOOGLE
25146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2518.244.20.120United States
AS16509AMAZON-02
2518.177.45.31Tokyo, Tokyo, Japan
AS16509AMAZON-02
30612--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18DF3FA34A5852437022725D9B625379931E79D8ECB630E21F7FCCBCABBC1C85C6125EA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:yCU+cXcXcsqMlc3yt8OwzwoJdeiBmgU1wJ+LMU:7UoqMl5DMU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:164124:QSYARRl6YAIQFpchgQPJKsQIgCDQUQIWoxAIJ3fKJDoFqABwkqIEgYGiBQA1DkZYIR1A00BKwxBMgYIzxICEIGguCyAGlFEE

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffc3c3cfc3f3c3cb
Perceptual Hash:b19ecc4d9293ce31
Difference Hash:30173f181e129a1a
Wavelet Hash:9a81c7c7c3c3c3c3
Color Hash:#79d2af

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data